AI Safety & Red Team Expert at Mercor

AI Safety & Red Team Expert | $17–25/hr | Worldwide Remote | English & Indonesian Fluency Required

Mercor is building a frontier red team of human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the safety data that makes AI more trustworthy. This is a fully remote, contractor role requiring native fluency in both English and Indonesian.

Why This Role Exists

The safest AI is the one that's already been attacked — by us. Mercor assembles expert red teamers to stress-test conversational AI systems before they reach production, helping customers trust the safety and robustness of their models.

Note: This project involves reviewing AI outputs on sensitive topics such as bias, misinformation, and harmful behaviors. All work is text-based. Participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Topics are communicated before exposure.

What You'll Do

• Red team conversational AI models and agents — including jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
• Apply structured frameworks, taxonomies, and benchmarks to ensure consistent testing
• Produce reproducible reports, datasets, and attack cases that customers can act on

Who You Are

• Experienced in AI adversarial work, cybersecurity, or socio-technical probing
• Naturally curious and adversarial — you instinctively push systems to their breaking points
• Structured in your approach — you use frameworks, not just random hacks
• Communicative — you can explain risks clearly to both technical and non-technical stakeholders
• Adaptable — comfortable moving across diverse projects and customer environments

Nice-to-Have Specialties

• Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
• Cybersecurity: penetration testing, exploit development, reverse engineering
• Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
• Creative probing: psychology, acting, or writing for unconventional adversarial thinking

What Success Looks Like

• You uncover vulnerabilities that automated tests miss
• You deliver reproducible artifacts that strengthen customer AI systems
• Evaluation coverage expands — more scenarios tested, fewer surprises in production
• Mercor customers trust their AI because you've already probed it like an adversary

Why Join Mercor

• Build hands-on experience in human data-driven AI red teaming at the frontier of safety
• Play a direct role in making AI systems more robust, safe, and trustworthy